Create fluid conversations with QnA Maker multi-turn feature

Click for: original source

Matt Wade authored this beginner guide to QnA Maker multi-trun conversations. In the past there was a glaring difference between a QnA Maker knowledge base (KB) and a real human: the ability to clarify, ask for more information or do anything more than a one-off question-response type of conversation. With multi-turn, the experience with your QnA KB is much more fluid and significantly more natural.

Multi-turn relies on follow-up prompts that are sent with an A (answer) when asked a Q (question). These prompts aren’t just helpful; they can pull the user along a set path of your design. That path can be whatever you think is logical or it can go in a direction that, over time, most users have shown to go.

The article is divided into these sections:

  • Prompt me (follow-up prompts sent with answer when asked question)
  • Example Contoso Restaurant Bot
  • A web of knowledge
  • The build-out process
  • Connecting your KB to your bot
  • Wrap up

To help you visualize multi-turn conversations, there is an example chatbot meant to be used on a restaurant’s website. Also, if you haven’t already checked it out, you want to learn all the new things that come with QnA Maker’s active learning. Good read!

[Read More]

Tags software bots robotics azure